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NexQuant/requirements.txt
T
TPTBusiness 9960633d01 fix(deps): relax aiohttp constraint to >=3.13.4 for litellm compatibility
litellm 1.83.14 pins aiohttp==3.13.4 exactly; requiring >=3.13.5 caused
an unresolvable conflict in CI. aiohttp 3.13.4 still patches all four CVEs.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-30 09:44:09 +02:00

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# Requirements for runtime.
pydantic-settings
python-Levenshtein
scikit-learn
filelock
loguru
psutil
fire
fuzzywuzzy
openai
litellm>=1.83.14 # to support `from litellm import get_valid_models`
aiohttp>=3.13.4 # CVE-2026-22815, CVE-2026-34515, CVE-2026-34516, CVE-2026-34525; >=3.13.4 due to litellm==1.83.14 exact pin
azure.identity
pyarrow
rich
tqdm
typer
numpy # we use numpy as default data format. So we have to install numpy
pandas # we use pandas as default data format. So we have to install pandas
pandarallel # parallelize pandas
matplotlib
langchain
langchain-community
tiktoken
pymupdf # Extract shotsreens from pdf
# PDF related
pypdf
azure-ai-formrecognizer
# factor implementations
tables
# CI Fix Tool
tree-sitter-python
tree-sitter
python-dotenv>=1.2.2 # CVE: symlink following allows arbitrary file overwrite
# infrastructure related.
docker
# crawler related
webdriver-manager
# demo related
streamlit>=1.47 # to support input_c.text_area(..., height="content", ...)
plotly
st-theme
randomname
flask
flask-cors
networkx
# kaggle crawler
selenium
kaggle
nbformat # also used for notebook conversion
# tool
setuptools-scm
seaborn
azure.ai.inference
# data folder desc
humanize
genson
# mlflow
mlflow
azureml-mlflow
types-pytz
# Agent
pydantic-ai-slim[mcp,openai,prefect]
nest-asyncio
# visualize SFT train
tensorboard # tensorboard --logdir git_ignore_folder/RD-Agent_workspace
prefect
# HuggingFace datasets
datasets
# DuckDuckGo search
duckduckgo-search
# Testing
pytest
pytest-cov
# Parameter Optimization
optuna>=3.5.0
# News & Data (Polymarket, ForexFactory, CryptoPanic)
beautifulsoup4>=4.12.0
# ML Training Pipeline
lightgbm>=3.3.5
scipy>=1.15.3
# RL Trading (optional - system works without these)
# Install for full RL training: pip install stable-baselines3[extra] gymnasium
# Without these, RL trading uses simple momentum fallback
# stable-baselines3[extra]>=2.0.0
# gymnasium>=0.29.0